Project description:Human cells identify invading pathogens and activate immune signaling pathways through a wide array of pattern recognition receptors, such as DNA sensors. The interferon-inducible protein 16 (IFI16) is a nuclear DNA sensor that recognizes double-stranded DNA from a number of viral sources, including genomes of nuclear-replicating viruses such as the prevalent human pathogen, herpes simplex virus 1 (HSV-1). Upon binding to the DNA genome of HSV-1, IFI16 both induces antiviral cytokine expression and suppresses virus gene expression. Here, we use a multi-omics approach of DNA sequencing techniques paired with targeted mass spectrometry to obtain an extensive view of the interaction between IFI16 and the HSV-1 genome, and how this binding affects the viral DNA structure and protein expression. Through ChIP-seq, we find that IFI16 binds to the HSV-1 genome in a sequence-independent manner while simultaneously exhibiting broad enrichment at two loci: UL30, the viral DNA polymerase gene, and US1-US7. ATAC-seq analysis reveals that these two regions are among the most accessible stretches of DNA on the genome, thereby facilitating IFI16 binding. Accessibility of the entire HSV-1 genome is elevated upon IFI16-KO, indicating that expression of IFI16 globally induces chromatinization of viral DNA, regardless of IFI16 enrichment. Deletion of IFI16 also results in a global increase in the expression of HSV-1 proteins, as measured by parallel reaction monitoring-mass spectrometry. Altogether, we demonstrate that IFI16 interacts with the HSV-1 genome in a sequence-independent manner, and this interaction coordinates epigenetic silencing of the viral genome, resulting in decreased protein expression and virus replication.
Project description:RUVBL2 is most important AAA+ ATPase for RNA polymerase II assembly and transcription regulation, through DNA remodeling or by directly interaction with PIC,this study will comprehensively to study the promiscuous functions of this proteins through the ChIP-MS, ChIP-seq, RNA-seq and nascent RNA seq and biochemistry analysis. Our study would provide more systematic and novel responsibility of this molecule, especially for the development and carcinomas.
Project description:DNA damage is frequently utilized as the basis for cancer therapies; however, resistance to DNA damage remains one of the biggest challenges facing cancer patients and their treating clinicians. Critically, the molecular drivers behind resistance are poorly understood. To address this question, we created an isogenic model of prostate cancer exhibiting more aggressive characteristics to better understand the molecular signatures associated with resistance and metastasis. 22Rv1 cells were repeatedly exposed to DNA damage daily for 6 weeks, similar to patient treatment regimes. Using Illumina MethylationEPIC arrays and RNA-seq, we compared the DNA methylation and transcriptional profiles between the parental 22Rv1 cell line and the lineage exposed to prolonged DNA damage. Here we show that repeated DNA damage drives the molecular evolution of cancer cells to a more aggressive phenotype and identify molecular candidates behind this process. Total DNA methylation was increased in cells exposed to repeated DNA damage. Further, RNA-seq demonstrated these cells had dysregulated expression of genes involved in metabolism and the unfolded protein response (UPR) with ASNS identified as central to this process. While limited overlap between RNA-seq and DNA methylation was evident, OGDHL was identified as altered in both data sets. Utilising a second approach we profiled the proteome in 22Rv1 cells following a single dose of radiotherapy. This analysis also highlighted the UPR in response to DNA damage. Together, these analyses identified dysregulation of metabolism and the UPR and identified ASNS and OGDHL as candidate genes for resistance to DNA damage. This work provides critical insight into molecular changes which may underpin treatment resistance and metastasis.
Project description:Emerging and neglected pathogens pose challenges as their biology is frequently poorly understood, and genetic tools often do not exist to manipulate them. Organism agnostic sequencing technologies offer a promising approach to understand the molecular processes underlying these diseases. Here we apply dual RNA-seq to Orientia tsutsugamushi (Ot), the obligate intracellular causative agent of the vector-borne human disease scrub typhus. Half the Ot genome is composed of repetitive DNA, and there is minimal collinearity in gene order between strains. Integrating RNA-seq, comparative genomics, proteomics, and machine learning, we investigated the transcriptional architecture of Ot, including operon structure and non-coding RNAs, and found evidence for wide-spread post-transcriptional antisense regulation. We compared the host response to two clinical isolates and identified distinct immune response networks that are up-regulated in response to each strain, leading to predictions of relative virulence which were confirmed in a mouse infection model. Thus, dual RNA-seq can reveal the biology and host-pathogen interactions of a poorly characterized and genetically intractable organism such as Ot.